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Statistical Analysis Methodology

Journal Article

Improving Care Experiences for Patients and Caregivers at End of Life: A Systematic Review

Previous reviews examined palliative care improvements or available measures but none explicitly on improving care experiences. We reviewed literature on improving patient and/or caregiver end-of-life care experiences.

Apr 7, 2021
Journal Article

An Audit Tool for Longitudinal Assessment of the Health-Related Characteristics of Urban Neighborhoods: Implementation Methods and Reliability Results

To identify neighborhood features that are predictors of health, objective assessments of the environment are used. In this paper, we have described implementation methods, reliability results and lessons learned to inform future studies of change.

Mar 16, 2021
Journal Article

Brief Tutorial for twangContinuous

This document provides a brief tutorial on using the twangContinous package to estimate causal effects for continuous exposure variables using generalized propensity scores estimated via generalized boosted models.

Mar 10, 2021
Journal Article

A Comparison of Multilevel Mediation Modeling Methods: Recommendations for Applied Researchers

In this paper, we discuss the strengths and limitations of multilevel modeling, with a focus on the indirect effects when the predictor, mediator, and dependent variable are all collected at the lowest level of data.

Feb 17, 2021
Tool

Chesapeake Bay Model Inventory and Selection Tool (MIST)

The Model Inventory and Selection Tool (MIST) is an interactive, searchable database of empirical, statistical, and conceptual models relevant to water- and climate-related planning and decisionmaking in the Chesapeake Bay watershed and beyond.

Feb 16, 2021
Journal Article

When Is a Match Sufficient? A Score-based Balance Metric for the Synthetic Control Method

In this study, we present metrics to help analysts determine whether they have a good enough match to conduct causal inference using synthetic control method.

Feb 2, 2021
Journal Article

Improving The Accuracy Of Hospital Quality Ratings By Focusing On The Association Between Volume And Outcome

The goal of this exploratory analysis was to examine the changes in hospital star rankings for aortic valve replacement when shrinkage targets based on hospital case volume are used instead of the standard CMS approach.

Jan 28, 2021
Journal Article

Injury Scoring: Then, Now, and Into the 21st Century

In this essay we review the recent history of injury outcome prediction and suggest how the future may play out.

Jan 21, 2021
Journal Article

Impact of the Choice of Risk Model for Identifying Low-risk Patients Using the 2014 American College of Cardiology/American Heart Association Perioperative Guidelines

The aim of this study is to determine how often three risk-prediction tools agree on the classification of patients as low risk (less than 1%) of major adverse cardiac event.

Jan 20, 2021
Tool

Quantifying the Bias Due to Observed Individual Confounders in Causal Treatment Effect Estimates: A Tutorial for the Selection Bias Decomposition (SBdecomp) Package

In this tool, the authors explain the methodology behind the primary function of the selection bias decomposition (SBdecomp) package; describe its features, syntax and how to implement the function; and illustrate its use with an example.

Dec 29, 2020
Journal Article

Exploring the Application of Machine Learning for Downscaling Climate Projections

In this proof-of-concept study, datasets derived from both observations and climate models were used together to train and test statistical methods to downscale.

Dec 22, 2020
Journal Article

Valid Inference in Single-Firm, Single-Event Studies

This paper concerns single-firm event studies, which are especially important in the context of securities litigation. Event studies can be used to address directly the materiality and loss causation elements.

Dec 11, 2020
Tool

Toolkit for Weighting and Analysis of Nonequivalent Groups: A Tutorial on the TWANG Shiny Application for Three or More Treatment Groups

This tutorial describes how to use a menu-driven Shiny application based on the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) R package.

Nov 24, 2020
Journal Article

Linking Statistics with Testing Policy to Manage COVID-19 in the Community

Monitoring the evolution of the pandemic in our society is crucial. This discussion highlights some very important principles of statistical sampling that are relevant to formulating policy.

Aug 4, 2020
Journal Article

Evaluation of Longitudinal Surrogate Markers

In this paper, we propose a model-free definition for the proportion of the treatment effect on the primary outcome that is explained by the treatment effect on the longitudinal surrogate markers.

Aug 4, 2020
Journal Article

The State of the Science in Opioid Policy Research

The rigor of study design varies notably across policy categories, highlighting the need for broader adoption of rigorous methods in opioid policy research.

Jul 7, 2020
Tool

Toolkit for Weighting and Analysis of Nonequivalent Groups: A Tutorial on the TWANG Shiny App for Two Treatments

This tutorial describes how to use a menu-driven Shiny app based on the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) R package. It can be used to estimate propensity score weights and treatment effects for binary treatments.

Jun 30, 2020
Q&A

Modeling the Future of COVID-19: Q&A with RAND Experts

The phrase “flatten the curve” familiarized Americans with epidemiological models used to estimate virus transmission, cases, and potential deaths from COVID-19. But new models are needed as the country enters a different stage of the crisis.

May 26, 2020
Multimedia

Epidemiological Models and COVID-19

In this Call with the Experts podcast, RAND researchers say new epidemiological models are needed as the country enters a different stage of the COVID-19 crisis, one in which changed behaviors must be taken into account.

May 21, 2020
Report

Modeling the Impact of Border-Enforcement Measures

This report offers insights into effects of surveillance technology on border outcomes. The underlying research demonstrated the promise and limits of quasi-experimental statistical methods for evaluating the impact of border-enforcement measures.

May 7, 2020

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RAND Topic:
Statistical Analysis Methodology

Topic Synonyms:
Statistical Modeling